Rome
Metro Power
41.4
of 100 · #90
MPI
41.4
MCC
36.3
MDI
31.6
Pillar profile
Talent33.3
Capital25.0
Research34.9
Infrastructure56.9
Agentic31.6
Indicators
- Population (m)4.2
- GDP ($bn)176.5
- GDP per capita ($k)41.8
- AI investment ($bn)2
- Tech employment %5.5
- AI talent46
- Research strength62
- Notable AI orgs14
- Compute / data centers50
- Broadband %91
- Tertiary degree %40
- Digital skills62
- Startup ecosystem46
- Agent adoption38
- Patents / 100k12
Nearest peers
- Tampa36.3
- Kuala Lumpur36.0
- Kansas City36.0
- Boise36.6
- Buenos Aires35.7
Metro report · generated from Rome's indicators
Rome — metro standing in full
Rome is the #71 metro by economic size ($176bn) in the panel and ranks #90/162 on absolute Metro Power and #115/162 on per-capita intensity. No pillar stands out as a clear strength; the binding concern is capital. Locally it runs below the Italy national average (MCC 36.3 vs CC 53.5).
National context: Italy scores CC 53.5 per-capita; Rome sits at MCC 36.3.
Economic & scale context ● Eurostat met_10r_3gdp/met_pjanaggr3 (2021/22)
GDP (metro)
$176bn
#71 of 162
GDP / capita
$42k
Population
4.2M
AI investment
$2.0bn
#82 of 162
Notable AI orgs
14
Index & pillar read
For each metro index and pillar: what it means when high (the value) versus low (the gap), and Rome's own standing.
| Index / pillar | Value | Standing | What a high vs low value means — and where Rome sits |
|---|---|---|---|
| MPI Metro Power | 41.4 | Moderate · #90/162 | Mid-pack. High would mean a heavyweight hub where capital, talent and AI organizations concentrate — it can anchor an entire national AI ecosystem; low would mean limited absolute weight — a smaller node that leans on capacity built in larger hubs. ▲ high: a heavyweight hub where capital, talent and AI organizations concentrate — it can anchor an entire national AI ecosystem · ▼ low: limited absolute weight — a smaller node that leans on capacity built in larger hubs |
| MCC Metro Coefficient | 36.3 | Developing · #115/162 | Low here — thin intensity per resident — capability is sparse relative to the population. ▲ high: deep capability per resident — a concentrated, high-intensity ecosystem · ▼ low: thin intensity per resident — capability is sparse relative to the population |
| MDI Metro Agentic | 31.6 | Developing · #124/162 | Low here — agentic deployment is shallow — the local agent lever is under-used. ▲ high: agents are widely deployed locally — a near-term productivity multiplier · ▼ low: agentic deployment is shallow — the local agent lever is under-used |
| Talent Talent | 33.3 | Developing · #120/162 | Low here — a shallow talent base that constrains how much can be built locally. ▲ high: a deep talent pool — the scarcest input to building AI · ▼ low: a shallow talent base that constrains how much can be built locally |
| Capital Capital | 25.0 | Developing · #129/162 | Low here — thin investment — good ideas struggle to scale locally. ▲ high: abundant capital flowing into building cognitive infrastructure · ▼ low: thin investment — good ideas struggle to scale locally |
| Research Research | 34.9 | Moderate · #103/162 | Mid-pack. High would mean a strong research base feeding a pipeline of ideas and people; low would mean a weak research base — fewer home-grown breakthroughs and spinouts. ▲ high: a strong research base feeding a pipeline of ideas and people · ▼ low: a weak research base — fewer home-grown breakthroughs and spinouts |
| Infrastructure Infrastructure | 56.9 | Developing · #115/162 | Low here — infrastructure gaps cap how much AI can actually be run locally. ▲ high: the physical and digital rails to run AI at scale are in place · ▼ low: infrastructure gaps cap how much AI can actually be run locally |
| Agentic Agentic | 31.6 | Developing · #124/162 | Low here — little agentic deployment — the near-term lever is unused. ▲ high: agents are actively deployed — an early-mover productivity edge · ▼ low: little agentic deployment — the near-term lever is unused |
Strengths to build on
- No pillar stands out as a clear strength yet.
Risk factors
- Binding weakness — Capital 25.0 (#129/162, Developing): thin investment — good ideas struggle to scale locally.
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Metro values are curated estimates (v1) on a consistent global scale — not yet measured sub-national data.